Method to Query Large Compressed Audio Databases

• US 20070260590A1
• Filed: 04/30/2007
• Published: 11/08/2007
• Est. Priority Date: 05/01/2006
• Status: Abandoned Application

• Current Assignee: Texas Instruments, Inc.
• Original Assignee: Texas Instruments, Inc.
• Inventors: Sundareson, Prabindh
• Application Number:
  US11/742,067
• Publication Number:
  US 20070260590A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/639 using playlists
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

A method of operating a digital music system includes inputting the location where music data files are stored, automatically profiling music data files, inputting a query of a type of music data, generating an ordered playlist of music data files satisfying the query and playing the playlist. Input can be via keyboard or via an automatic speech recognition system. The automatically profiling includes pitch tracking to determine whether the music data file includes male vocals, female vocals or no vocals. This invention is useful for compressed music data files, where the number of music data files is large.

Claims

1. A method of operating a digital music system comprising the steps of:

inputting from a user an indication of a location where music data files are stored;

automatically profiling each music data file stored at said indicated location;

inputting from the user a query of a type of music data;

generating an ordered playlist of music data files stored at said indicated location satisfying said query; and

playing said playlist of music data files.

2. The method of claim 1, wherein:

said steps of inputting the indication of the location and inputting the query are via a keyboard.

3. The method of claim 1, wherein:

said steps of inputting the indication of the location and inputting the query are via voice commands recognized by an automatic speech recognition system.

4. The method of claim 3, wherein:

said automatic speech recognition system includes verbal feedback to the user of recognized voice commands.

5. The method of claim 3, further comprising the steps of:

analyzing a recognized voice command and producing a query corresponding to said recognized voice command.

6. The method of claim 1, wherein:

said step of automatically profiling each music data file includes pitch tracking to determine whether the music data file includes male vocals, female vocals or no vocals.

7. The method of claim 1, wherein:

said music data files are compressed music data files; and

wherein said step of playing said playlist of music data files includes decompressing each music data file.